Triple
T7413690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levi P. Morton |
E171074
|
entity |
| Predicate | startTimeAsUSMinisterToFrance |
P76785
|
FINISHED |
| Object | 1881 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1881 | Statement: [Levi P. Morton, startTimeAsUSMinisterToFrance, 1881]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsUSMinisterToFrance Context triple: [Levi P. Morton, startTimeAsUSMinisterToFrance, 1881]
-
A.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
B.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
C.
endTimeAsMayorOfParis
Indicates the date and time at which an individual’s tenure as Mayor of Paris comes to an end.
-
D.
startTimeAsHeadOfState
Indicates the date and time when an individual begins their tenure or service as a head of state.
-
E.
servedAsForeignMinisterUntil
Indicates that an entity held the position of foreign minister up to a specified end date or point in time.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c336308190932c14cec5eec25f |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1c3307481909a7f6bb69d4fddac |
completed | March 27, 2026, 9:08 p.m. |
Created at: March 27, 2026, 3:11 p.m.